Seamless.AI

Principal Data Engineer

Seamless.AI

Overview

Role involves designing and maintaining ETL pipelines and collaborating on data integration strategies.

Ideal candidate has 7+ years of experience in data engineering with strong skills in Python and AWS Glue.

remoteseniorpermanentfull-timeEnglishPythonSparkSQLETLmachine learning

Locations

  • United States

Requirements

  • Bachelor's degree or equivalent experience
  • 7+ years of experience as a Data Engineer
  • Professional experience with Spark and AWS pipeline development required

Responsibilities

  • Design and maintain ETL pipelines
  • Collaborate on data requirements
  • Implement data transformation logic
  • Utilize AWS Glue for ETL jobs
  • Optimize ETL processes
  • Apply data matching methodologies
  • Implement data governance practices
  • Explore new technologies